Download or read book Discrete Choice Methods with Simulation written by Kenneth Train and published by Cambridge University Press. This book was released on 2009-07-06 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation. Researchers use these statistical methods to examine the choices that consumers, households, firms, and other agents make. Each of the major models is covered: logit, generalized extreme value, or GEV (including nested and cross-nested logits), probit, and mixed logit, plus a variety of specifications that build on these basics. Simulation-assisted estimation procedures are investigated and compared, including maximum stimulated likelihood, method of simulated moments, and method of simulated scores. Procedures for drawing from densities are described, including variance reduction techniques such as anithetics and Halton draws. Recent advances in Bayesian procedures are explored, including the use of the Metropolis-Hastings algorithm and its variant Gibbs sampling. The second edition adds chapters on endogeneity and expectation-maximization (EM) algorithms. No other book incorporates all these fields, which have arisen in the past 25 years. The procedures are applicable in many fields, including energy, transportation, environmental studies, health, labor, and marketing.
Download or read book Model Selection and Multimodel Inference written by Kenneth P. Burnham and published by Springer Science & Business Media. This book was released on 2007-05-28 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: A unique and comprehensive text on the philosophy of model-based data analysis and strategy for the analysis of empirical data. The book introduces information theoretic approaches and focuses critical attention on a priori modeling and the selection of a good approximating model that best represents the inference supported by the data. It contains several new approaches to estimating model selection uncertainty and incorporating selection uncertainty into estimates of precision. An array of examples is given to illustrate various technical issues. The text has been written for biologists and statisticians using models for making inferences from empirical data.
Download or read book Data Analysis and Approximate Models written by Patrick Laurie Davies and published by CRC Press. This book was released on 2014-07-07 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: The First Detailed Account of Statistical Analysis That Treats Models as ApproximationsThe idea of truth plays a role in both Bayesian and frequentist statistics. The Bayesian concept of coherence is based on the fact that two different models or parameter values cannot both be true. Frequentist statistics is formulated as the problem of estimating
Download or read book Computational Aspects of Model Choice written by Jaromir Antoch and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although no-one is, probably, too enthused about the idea, it is a fact that the development of most empirical sciences to a great extend depends of the development of data analysis methods and techniques, which, due to the necessity of applications of computers for that pur pose, actually means that it practically depends on the advancements and orientation of computational statistics. This volume contains complete texts of the lectures held during the Summer School on "Computational Aspects of Model Choice" orga nized jointly by Charles University, Prague, and International Associa tion for Statistical Computing (IASC) on July 1-14, 1991, in Prague. Main aims of the Summer School were to review and analyse some of the recent developments concerning computational aspects of the model choice as well as their theoretical background. The topics covers the problems of the change point detection, robust estimation and its computational aspects, classification using binary trees, stochastic ap proximation and optimization including the discussion about available software, computational aspects of graphical model selection and mul tiple hypotheses testing. The bridge between these different approaches is formed by the survey paper about statistical applications of artificial intelligence.
Download or read book Right Minded Teamwork written by Dan Hogan and published by . This book was released on 2013-04-01 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a Team-Building Facilitator's Guide and Teammate Handbook. This book is about Team-Building, The Right-Minded Way. I bet you're one of those smart people who prefer a real-world workshop over a "pretend" one, right? Real-world team-building does not subscribe to the idea that games, outdoor exercises, or social events are the most effective approaches. They can be a lot of fun, but they're not valid substitutes for getting real teamwork done because they are indirect and do not resolve the team's most pressing teamwork issues. They are pretend workshops. This approach has nothing to do with right brain behavior or right wing political philosophies. This teamwork approach is based on choices that, taken together, define your team's right-minded thought system. Stop. Make certain you understand this essential point. People often ask, "Who decides what is right?" The answer is simple: your team decides. Learn how to facilitate and incorporate these 9 choices in your team using straightforward exercises. Use this book with other RMT courses such as our free and comprehensive 12 Step online course: How to Design a Right-Minded Team Building Workshop. When you incorporate Right-Minded Teamwork into your team-building practice, You will create satisfied team-building customers that recommend you to other teams. You will have truly helped your client team to successfully address and resolve their real-world team issues, and You will build a long and rewarding team-building facilitator career that will produce many life-long and enduring friendships.
Download or read book Modeling Ordered Choices written by William H. Greene and published by Cambridge University Press. This book was released on 2010-04-08 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is increasingly common for analysts to seek out the opinions of individuals and organizations using attitudinal scales such as degree of satisfaction or importance attached to an issue. Examples include levels of obesity, seriousness of a health condition, attitudes towards service levels, opinions on products, voting intentions, and the degree of clarity of contracts. Ordered choice models provide a relevant methodology for capturing the sources of influence that explain the choice made amongst a set of ordered alternatives. The methods have evolved to a level of sophistication that can allow for heterogeneity in the threshold parameters, in the explanatory variables (through random parameters), and in the decomposition of the residual variance. This book brings together contributions in ordered choice modeling from a number of disciplines, synthesizing developments over the last fifty years, and suggests useful extensions to account for the wide range of sources of influence on choice.
Download or read book Choice Modelling written by Stephane Hess and published by Edward Elgar Publishing. This book was released on 2013-01-01 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: 'This collection of papers, by leading researchers in the field, provides an excellent view of the current state of research and applications. Exciting new techniques are presented, and realistic solutions are offered to issues that arise in applied work. It is an admirably rich volume, offering valuable insights for all readers of choice modeling.' Kenneth Train, University of California, Berkeley and NERA Economic Consulting, Inc., San Francisco, California, US 'I'm an enthusiastic fan of the ICMC, where researchers are friendly, genuinely interested in learning from and helping one another. There is much to learn because each discipline brings a different perspective to the field and to theoretical and applied problems in decision-making and choice behavior. The ICMC embodies the philosophy that most real choice problems are complex and require a cross-disciplinary approach. The papers in this volume represent an eclectic cross-section of the topics covered by key researchers in the field. I look forward to getting our PhD students and postdocs stuck into them.' Jordan Louviere, University of Technology Sydney, Australia Choice modelling has been one of the most active fields in economics over recent years. This valuable new book contains leading contributions from academics and practitioners from across the different areas of study where choice modelling is a key analytical technique, drawn from a recent international conference. Choice models explain the behaviour of individuals by quantifying their values, responses and perceptions of attributes describing the various options (alternatives) available to them. Policy makers and planners have long since recognised the potential of using choice models for guidance purposes, with applications in fields as diverse as transport analysis, healthcare, telecommunications, public service evaluation and energy. The unique mix of theoretical and applied chapters will appeal to academics, students, researchers and practitioners in various fields, as well as anyone with a general interest in the subject.
Download or read book Experimental Design and Model Choice written by Helge Toutenburg and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 469 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook gives a representation of the design and analysis of experiments, that comprises the aspects of classical theory for continuous response and of modern procedures for categorical response, and especially for correlated categorical response. Complex designs, as for example, cross-over and repeated measures, are included. Thus, it is an important book for statisticians in the pharmaceutical industry as well as for clinical research in medicine and dentistry.
Download or read book Choice Theory written by William Glasser, M.D. and published by Harper Collins. This book was released on 2010-11-16 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dr. William Glasser offers a new psychology that, if practiced, could reverse our widespread inability to get along with one another, an inability that is the source of almost all unhappiness. For progress in human relationships, he explains that we must give up the punishing, relationship–destroying external control psychology. For example, if you are in an unhappy relationship right now, he proposes that one or both of you could be using external control psychology on the other. He goes further. And suggests that misery is always related to a current unsatisfying relationship. Contrary to what you may believe, your troubles are always now, never in the past. No one can change what happened yesterday.
Download or read book Discrete Choice Analysis written by Moshe Ben-Akiva and published by MIT Press. This book was released on 2018-04-20 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discrete Choice Analysis presents these results in such a way that they are fully accessible to the range of students and professionals who are involved in modelling demand and consumer behavior in general or specifically in transportation - whether from the point of view of the design of transit systems, urban and transport economics, public policy, operations research, or systems management and planning. The methods of discrete choice analysis and their applications in the modelling of transportation systems constitute a comparatively new field that has largely evolved over the past 15 years. Since its inception, however, the field has developed rapidly, and this is the first text and reference work to cover the material systematically, bringing together the scattered and often inaccessible results for graduate students and professionals. Discrete Choice Analysis presents these results in such a way that they are fully accessible to the range of students and professionals who are involved in modelling demand and consumer behavior in general or specifically in transportation - whether from the point of view of the design of transit systems, urban and transport economics, public policy, operations research, or systems management and planning. The introductory chapter presents the background of discrete choice analysis and context of transportation demand forecasting. Subsequent chapters cover, among other topics, the theories of individual choice behavior, binary and multinomial choice models, aggregate forecasting techniques, estimation methods, tests used in the process of model development, sampling theory, the nested-logit model, and systems of models. Discrete Choice Analysis is ninth in the MIT Press Series in Transportation Studies, edited by Marvin Manheim.
Download or read book Choice Models in Marketing written by Sandeep R. Chandukala and published by Now Publishers Inc. This book was released on 2008 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: Choice Models in Marketing examines recent developments in the modeling of choice for marketing and reviews a large stream of research currently being developed by both quantitative and qualitative researches in marketing. Choice in marketing differs from other domains in that the choice context is typically very complex, and researchers' desire knowledge of the variables that ultimately lead to demand in marketplace. The marketing choice context is characterized by many choice alternatives. The aim of Choice Models in Marketing is to lay out the foundations of choice models and discuss recent advances. The authors focus on aspects of choice that can be quantitatively modeled and consider models related to a process of constrained utility maximization. By reviewing the basics of choice modeling and pointing to new developments, Choice Models in Marketing provides a platform for future research.
Download or read book Model Choice in Nonnested Families written by Basilio de Bragança Pereira and published by Springer. This book was released on 2016-12-30 with total page 105 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the problem of model choice when the statistical models are separate, also called nonnested. Chapter 1 provides an introduction, motivating examples and a general overview of the problem. Chapter 2 presents the classical or frequentist approach to the problem as well as several alternative procedures and their properties. Chapter 3 explores the Bayesian approach, the limitations of the classical Bayes factors and the proposed alternative Bayes factors to overcome these limitations. It also discusses a significance Bayesian procedure. Lastly, Chapter 4 examines the pure likelihood approach. Various real-data examples and computer simulations are provided throughout the text.
Download or read book Playing to Win written by Alan G. Lafley and published by Harvard Business Press. This book was released on 2013 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explains how companies must pinpoint business strategies to a few critically important choices, identifying common blunders while outlining simple exercises and questions that can guide day-to-day and long-term decisions.
Download or read book A Probabilistic Theory of Pattern Recognition written by Luc Devroye and published by Springer Science & Business Media. This book was released on 2013-11-27 with total page 631 pages. Available in PDF, EPUB and Kindle. Book excerpt: A self-contained and coherent account of probabilistic techniques, covering: distance measures, kernel rules, nearest neighbour rules, Vapnik-Chervonenkis theory, parametric classification, and feature extraction. Each chapter concludes with problems and exercises to further the readers understanding. Both research workers and graduate students will benefit from this wide-ranging and up-to-date account of a fast- moving field.
Download or read book The Psychology of Food Choice written by Richard Shepherd and published by CABI. This book was released on 2006-01-01 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by leading international experts, this book explores one of the central difficulties faced by nutritionists today; how to improve people's health by getting them to change their dietary behaviour. It provides an overview of the current understanding of consumer food choice by exploring models of food choice, the motivations of consumers, biological, learning and societal influences on food choice, and food choices across the lifespan. It concludes by examining the barriers to dietary change and how nutritionists can best impact upon dietary behaviour.
Download or read book The Solution of Choice written by E. James Wilder and published by . This book was released on 2018-04-26 with total page 83 pages. Available in PDF, EPUB and Kindle. Book excerpt: Is the goal to manage character or change it? Nearly five hundred years ago, the church made a sharp left turn in response to the Enlightenment. This shift created a skewed paradigm that has left the church offering solutions for character change that have not worked. There are far too many Christians living as if real character change will only happen on the other side of eternity. But what if Christ-likeness was meant to be a reality in this life? Is it really necessary for so many Christians to feel like the best they can do is hold on until they die? In this book we will see how four great Enlightenment ideas have neutralized the church and how something we all know but rarely understand can bring us transformed lives.
Download or read book Bayesian Data Analysis Third Edition written by Andrew Gelman and published by CRC Press. This book was released on 2013-11-01 with total page 677 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods. The authors—all leaders in the statistics community—introduce basic concepts from a data-analytic perspective before presenting advanced methods. Throughout the text, numerous worked examples drawn from real applications and research emphasize the use of Bayesian inference in practice. New to the Third Edition Four new chapters on nonparametric modeling Coverage of weakly informative priors and boundary-avoiding priors Updated discussion of cross-validation and predictive information criteria Improved convergence monitoring and effective sample size calculations for iterative simulation Presentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagation New and revised software code The book can be used in three different ways. For undergraduate students, it introduces Bayesian inference starting from first principles. For graduate students, the text presents effective current approaches to Bayesian modeling and computation in statistics and related fields. For researchers, it provides an assortment of Bayesian methods in applied statistics. Additional materials, including data sets used in the examples, solutions to selected exercises, and software instructions, are available on the book’s web page.
